期刊
PROCESS MINING WORKSHOPS, ICPM 2022
卷 468, 期 -, 页码 479-492出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-031-27815-0_35
关键词
Constraint monitoring; Object-centric process mining; Compliance checking; Process monitoring
Constraint monitoring aims to detect constraint violations in business processes by analyzing event data. However, existing techniques assume a single case notion and fail to consider the interaction of multiple objects in the processes. In this work, we propose an approach using Object-Centric Constraint Graphs (OCCGs) to represent and evaluate constraints in object-centric business processes. We conducted case studies with a real-life SAP ERP system to validate the proposed approach.
Constraint monitoring aims to monitor the violation of constraints in business processes, e.g., an invoice should be cleared within 48 h after the corresponding goods receipt, by analyzing event data. Existing techniques for constraint monitoring assume that a single case notion exists in a business process, e.g., a patient in a healthcare process, and each event is associated with the case notion. However, in reality, business processes are object-centric, i.e., multiple case notions (objects) exist, and an event may be associated with multiple objects. For instance, an Order-To-Cash (O2C) process involves order, item, delivery, etc., and they interact when executing an event, e.g., packing multiple items together for a delivery. The existing techniques produce misleading insights when applied to such object-centric business processes. In this work, we propose an approach to monitoring constraints in object-centric business processes. To this end, we introduce Object-Centric Constraint Graphs (OCCGs) to represent constraints that consider the interaction of objects. Next, we evaluate the constraints represented by OCCGs by analyzing Object-Centric Event Logs (OCELs) that store the interaction of different objects in events. We have implemented a web application to support the proposed approach and conducted two case studies using a real-life SAP ERP system.
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